low\_rank\_toolbox.matrices.SVD =============================== .. currentmodule:: low_rank_toolbox.matrices .. autoclass:: SVD .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~SVD.__init__ ~SVD.adjoint ~SVD.allclose ~SVD.approximation_error ~SVD.compress ~SVD.compress_ ~SVD.compression_ratio ~SVD.cond_estimate ~SVD.conj ~SVD.copy ~SVD.create_data_alias ~SVD.create_matrix_alias ~SVD.diag ~SVD.dot ~SVD.dot_sparse ~SVD.expm ~SVD.expm_multiply ~SVD.flatten ~SVD.from_dense ~SVD.from_full ~SVD.from_low_rank ~SVD.from_matrix ~SVD.from_qr ~SVD.from_quasiSVD ~SVD.full ~SVD.full_svd ~SVD.gather ~SVD.generate_random ~SVD.get_block ~SVD.hadamard ~SVD.is_orthogonal ~SVD.is_singular ~SVD.is_symmetric ~SVD.is_well_conditioned ~SVD.load ~SVD.lstsq ~SVD.matmat ~SVD.matvec ~SVD.memory_usage ~SVD.multi_add ~SVD.multi_dot ~SVD.norm ~SVD.norm_squared ~SVD.numerical_health_check ~SVD.plot_singular_value_decay ~SVD.power ~SVD.project_onto_column_space ~SVD.project_onto_interpolated_tangent_space ~SVD.project_onto_row_space ~SVD.project_onto_tangent_space ~SVD.pseudoinverse ~SVD.rank_one_update ~SVD.reduced_svd ~SVD.reorthogonalize ~SVD.rmatmat ~SVD.rmatvec ~SVD.save ~SVD.scale_ ~SVD.sing_vals ~SVD.singular_values ~SVD.solve ~SVD.sqrtm ~SVD.to_dense ~SVD.to_full ~SVD.to_qr ~SVD.to_sparse ~SVD.to_svd ~SVD.todense ~SVD.trace ~SVD.transpose ~SVD.truncate ~SVD.truncate_perpendicular ~SVD.truncated_svd .. rubric:: Attributes .. autosummary:: ~SVD.H ~SVD.K ~SVD.L ~SVD.S ~SVD.T ~SVD.U ~SVD.Uh ~SVD.Ut ~SVD.V ~SVD.Vh ~SVD.Vt ~SVD.deepshape ~SVD.is_memory_efficient ~SVD.length ~SVD.ndim ~SVD.numerical_rank ~SVD.rank ~SVD.s ~SVD.size ~SVD.svd_type